Paul Decaire
@pdecaire.bsky.social
Assistant professor of Finance at Arizona State University.
Link: https://www.paulhdecaire.com/
Link: https://www.paulhdecaire.com/
Reposted by Paul Decaire
Georgetown has put together resources for federal workers who may be facing a transition in jobs. These include various seminars and workshops, as well as tuition scholarships providing a discount on many master's programs and certificates. Please spread the word to anybody who might benefit.
Federal Workforce Transition Resources - Georgetown Graduate School
The Georgetown Graduate School of Arts and Sciences is offering resources to assist in federal workforce transitions. Check out our career seminars to learn more.
grad.georgetown.edu
March 18, 2025 at 12:05 AM
Georgetown has put together resources for federal workers who may be facing a transition in jobs. These include various seminars and workshops, as well as tuition scholarships providing a discount on many master's programs and certificates. Please spread the word to anybody who might benefit.
Reposted by Paul Decaire
Good lord this is so perfect.
January 17, 2025 at 4:46 PM
Good lord this is so perfect.
Reposted by Paul Decaire
Pretty striking findings! www.parisschoolofeconomics.eu/app/uploads/...
December 5, 2024 at 1:21 AM
Pretty striking findings! www.parisschoolofeconomics.eu/app/uploads/...
Reposted by Paul Decaire
We had two good_ish EEG data sets on games but could not convert either one to even a working paper (personnel turnover). Lots of low-hanging fruit.
Ming Hsu and Lusha Zhu had a good breakthrough w fMRI and learning in games fwiw
www.pnas.org/doi/10.1073/...
Ming Hsu and Lusha Zhu had a good breakthrough w fMRI and learning in games fwiw
www.pnas.org/doi/10.1073/...
November 28, 2024 at 2:25 AM
We had two good_ish EEG data sets on games but could not convert either one to even a working paper (personnel turnover). Lots of low-hanging fruit.
Ming Hsu and Lusha Zhu had a good breakthrough w fMRI and learning in games fwiw
www.pnas.org/doi/10.1073/...
Ming Hsu and Lusha Zhu had a good breakthrough w fMRI and learning in games fwiw
www.pnas.org/doi/10.1073/...
Reposted by Paul Decaire
These two papers, taken together, really cause a rethinking of behavioral economies.
Rather than having anomalous risk preferences; it looks like people have complexity aversion to "hard" decisions, especially on valuation, which drives behavioral anomalies. Herbert Simon ftw.
Rather than having anomalous risk preferences; it looks like people have complexity aversion to "hard" decisions, especially on valuation, which drives behavioral anomalies. Herbert Simon ftw.
November 27, 2024 at 4:33 PM
These two papers, taken together, really cause a rethinking of behavioral economies.
Rather than having anomalous risk preferences; it looks like people have complexity aversion to "hard" decisions, especially on valuation, which drives behavioral anomalies. Herbert Simon ftw.
Rather than having anomalous risk preferences; it looks like people have complexity aversion to "hard" decisions, especially on valuation, which drives behavioral anomalies. Herbert Simon ftw.
Reposted by Paul Decaire
👀
An empirical econ paper needs two things: 738 robustness checks concluding we can’t really ever fully be sure of internal validity in the appendix, and one (1) wild back of the envelope calculation indicating that the result is world-changing in the discussion section
Now I've come across several instances of people writing, essentially:
'Let me provide a very rough estimate. Don't take this number literally, because it has several flaws.'
And then their number becomes cited as the canonical figure on the topic.
'Let me provide a very rough estimate. Don't take this number literally, because it has several flaws.'
And then their number becomes cited as the canonical figure on the topic.
November 26, 2024 at 2:48 PM
👀